This tutorial guide will explain how to utilize the Photo Edit feature to make your Muse Mosaic activation much more creative and fun!
1. Chromakey Settings: The purpose of chromkey settings is not for you to replace the background of the image with another background. Instead, the purpose of this is for you to be able to key out background colors so that your image can better blend in with the Muse Mosaic billboard and uses the tuning intensity settings to create a smoother, well tuned and well blended muse mosaic image.
- Slider: This slider displays a list of all the images currently within your watched folder which can be double clicked on. The double clicking behavior of the images on this slider will subsequently trigger the image display box below to display the specific image clicked on for chromakeying purposes.
2. Image Display: Displays an image that was selected in the slider above it.
3. Activate: Turning on this feature will turn on the Chromakey feature which will then display any changes you made live on the Image Display box.
4. Auto-Detect: Turning on this feature will allow Muse Mosaic to automatically detect and determine the chromakey color based on the image on the image display box.
5. Color Selection: Allows you to manually select the color you want to key out.
6. Tolerance slider: Allows you to manually adjust the amount of chroma colors you want to key out from your image.
7. Feathering slider: Allows you to adjust the softness of the edges of your image.
ADVANCED
People Feature Detection: Muse Mosaic can detect human feature or skin in order to re-frame the image based on a predetermined magnification, set here. The image used in the mosaic will crop in per the set percentage around the detected feature.
1. No feature detection: Selecting this option will disable the People Feature Detection feature.
2. Apply Skin detection: This feature will try to identify the skin by analyzing the image, and estimating the colors that are most likely to be human skin. It not only will find faces, but also (bare) arms and hands. After detection of the skin in the (snapshot) image, it will then create a cut-out area, which will be used for the print. This cut-out area can be made slightly larger by setting a value for 'Detection enlargement' in percentage of the cut-out part. When enlargement is not possible (e.g. outside the image) it will try to maximize the cutout within the enlargement as much as possible. It can also take care of non-squareness in case rectangular images are chosen in the mosaic.
3. Apply face detection: This feature will try to identify the color of the face by analyzing the image and estimating the colors that are most likely to be human facial colors. After detection of the face in the (snapshot) image, it will then create a cut-out area, which will be used for the print. This cut-out area can be made slightly larger by setting a value for 'Detection enlargement' in percentage of the cut-out part. When enlargement is not possible (e.g. outside the image) it will try to maximize the cutout within the enlargement as much as possible. It can also take care of non-squareness in case rectangular images are chosen in the mosaic.
4. Detection box enlargement (%): This feature allows you to define the percentage of enlargement to make the cut-out area of the detected image larger.
5. Auto Refresh: Automatically update the chromakey effect when a new image is selected.
*Notes: The skin and face recognition works best with natural light and sufficient light. Extremely dark and extremely light skins may be detected wrongly, as may be hair, as well as any tanning of the skin. Also when shiny skins are found, e.g. by reflecting light on the skin, the colors may be detected wrongly or incomplete. The face detection method is not 100% accurate. This may be the case for objects that obstruct the detection, such as artifacts (hats, glasses), and other parts of the body, e.g. hands. In most cases lateral faces are recognized, but also not 100% proof.